ISETAuto: Detecting Vehicles With Depth and Radiance Information

ISETAuto: Detecting Vehicles With Depth and Radiance Information

Autonomous driving applications use two types of sensor systems to detect vehicles - depth sensing LiDAR and radiance sensing cameras. We compare the performance (average precision) of a ResNet for vehicle detection in complex, daytime, driving scenes when the input is a depth map [D = d(...

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Bibliographic Details
Main Authors: Zhenyi Liu, Joyce Farrell, Brian A. Wandell
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
LiDAR
camera
sensor fusion
autonomous driving
object detection
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9369340/

Internet

https://ieeexplore.ieee.org/document/9369340/

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